| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2003-04 | Soo Indians | NAHL | 54 | 15 | 9 | 24 | 0.444 | 0.1650 | 0.1644 | 0.4705 | 0.4688 |
| 2004-05 | Soo Indians | NAHL | 55 | 15 | 17 | 32 | 0.582 | 0.2160 | 0.2045 | 0.6160 | 0.5832 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2006-07 | Milwaukee School of Engineering | D3 | — | SO | 27 | 19 | 14 | 33 | 1.222 |
| 2005-06 | Milwaukee School of Engineering | D3 | — | FR | 25 | 18 | 13 | 31 | 1.240 |
How to read this: NCAAe and D3e factors convert a player's junior PPG into expected NCAA scoring at the D1 or D3 level. Harder conferences → lower projected PPG for the same player. A strong junior player (e.g. USHL 0.90 PPG) will project much higher in NESCAC than Big Ten because the D3 scoring environment is lower-difficulty.
Strength factor: conferences above 1.0 are harder than average; below 1.0 are easier. The formula is: Base NCAAe PPG ÷ Conference Strength = Projected PPG.